Short Trade on FARTCOIN

Previous Trade Next Trade

Short Trade on FARTCOIN 06 May 2025 at 19:09:23

Take profit at 1.0602 (1.95 %) and Stop Loss at 1.0954 (1.3 %)

Short Trade on FARTCOIN

The 06 May 2025 at 19:09:23

With 568.9439 FARTCOIN at 1.0813$ per unit.

Position size of 615.199 $

Take profit at 1.0602 (1.95 %) and Stop Loss at 1.0954 (1.3 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 1.14

Prediction Score: -9.131

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
0	n/a

Prediction 3	Probability
	n/a

BTC Market Regime	Coin Market Regime

BTC Correlation	Score

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.21
atr: 0.009374094032

Details

score: 1.21
1H
ema9 : 1.06847
ema21 : 1.08367
ema50 : 1.09768
price_ema9_diff : 0.0118321
ema9_ema21_diff : -0.0140203
ema21_ema50_diff : -0.0127621
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.481775
kc_percentage : 0.487166
kc_width_percentage : 0.103119
15m
ema9 : 1.05621
ema21 : 1.05874
ema50 : 1.07458
price_ema9_diff : 0.023696
ema9_ema21_diff : -0.00239336
ema21_ema50_diff : -0.0147439
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.585736
kc_percentage : 0.854594
kc_width_percentage : 0.060266
5m
ema9 : 1.06482
ema21 : 1.05428
ema50 : 1.05511
price_ema9_diff : 0.0156268
ema9_ema21_diff : 0.0100006
ema21_ema50_diff : -0.000791271
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.704461
kc_percentage : 1.20781
kc_width_percentage : 0.0347516

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
06 May 2025 19:09:23	06 May 2025 20:20:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.0813	1.0954	1.0602	1.5	0.1782

Details

Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

Entry 1.0813
Stop Loss: 1.0954
Take Profit: 1.0602

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.0954 - 1.0813 = 0.0141
Récompense (distance jusqu'au take profit):

E - TP = 1.0813 - 1.0602 = 0.0211
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0211 / 0.0141 = 1.4965

📌 Position Size

Amount	Margin	Quantity	Leverage
615.199	100	568.9439	6.15

Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

Account Size 100
Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

Risk Amount 8
Distance Stop Loss 0.0141

Taille de position = 8 / 0.0141 = 567.38

Taille de position USD = 567.38 x 1.0813 = 613.51

Donc, tu peux acheter 567.38 avec un stoploss a 1.0954

Avec un position size USD de 613.51$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 567.38 x 0.0141 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 567.38 x 0.0211 = 11.97

Si Take Profit atteint, tu gagneras 11.97$

Résumé

Taille de position 567.38
Taille de position USD 613.51
Perte potentielle 8
Gain potentiel 11.97
Risk-Reward Ratio 1.4965

📌 Peformances

TP % Target	TP $ Target
1.95 %	12 $

SL % Target	SL $ Target
1.3 %	8.02 $

PNL	PNL %
-7.97 $	-1.30

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.4061054579094 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.06
            [entry_price] => 1.081
            [stop_loss] => 1.0964
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-06 20:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.06
            [entry_price] => 1.081
            [stop_loss] => 1.0978
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-06 20:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.06
            [entry_price] => 1.081
            [stop_loss] => 1.0992
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-06 20:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.06
            [entry_price] => 1.081
            [stop_loss] => 1.102
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-06 20:20:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0082
            [max_drawdown] => 0.0412
            [rr_ratio] => 0.2
            [high] => 1.12250000
            [low] => 1.07310000
            [mfe_pct] => 0.76
            [mae_pct] => 3.81
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 24
            [start_at] => 2025-05-06T19:09:23-04:00
            [end_at] => 2025-05-06T21:09:23-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0671
            [max_drawdown] => 0.0412
            [rr_ratio] => 1.63
            [high] => 1.12250000
            [low] => 1.01420000
            [mfe_pct] => 6.21
            [mae_pct] => 3.81
            [mfe_mae_ratio] => 1.63
            [candles_analyzed] => 72
            [start_at] => 2025-05-06T19:09:23-04:00
            [end_at] => 2025-05-07T01:09:23-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.08480000
            [high_after] => 1.12250000
            [low_before] => 1.00740000
            [low_after] => 1.01420000
            [is_new_high] => 
            [is_new_low] => 
        )

)